Fr. 147.00

Molecular Modeling of Proteins

English · Paperback / Softback

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Description

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Molecular Modeling of Proteins, Second Edition provides a theoretical background of various methods available and enables non-specialists to apply methods to their problems by including updated chapters and new material not covered in the first edition. This detailed volume opens by featuring classical and advanced simulation methods as well as methods to set-up complex systems such as lipid membranes and membrane proteins and continues with chapters devoted to the simulation and analysis of conformational changes of proteins, computational methods for protein structure prediction, usage of experimental data in combination with computational techniques, as well as protein-ligand interactions, which are relevant in the drug design process. Written for the highly successful Methods in Molecular Biology series, chapters include thorough introductions, step-by-step instructions and notes on troubleshooting and avoiding common pitfalls.
Update-to-date and authoritative, Molecular Modeling of Proteins, Second Edition aims to aid researchers in the physical, chemical and biosciences interested in utilizing this powerful technology.

List of contents

Molecular Dynamics Simulations.- Transition Path Sampling with Quantum/Classical Mechanics for Reaction Rates.- Current Status of Protein Force Fields for Molecular Dynamics Simulations.- Lipid Membranes for Membrane Proteins.- Molecular Dynamics Simulations of Membrane Proteins.- Membrane-Associated Proteins and Peptides.- Coarse-Grained Force Fields for Molecular Simulations.- Tackling Sampling Challenges in Biomolecular Simulations.- Calculation of Binding Free Energies.- The Use of Experimental Structures to Model Protein Dynamics.- Computing Ensembles of Transitions with Molecular Dynamics Simulations.- Accelerated Molecular Dynamics and Protein Conformational Change: A Theoretical and Practical Guide Using a Membrane Embedded Model Neurotransmitter Transporter.- Simulations and Experiments in Protein Folding.- Comparative Modeling of Proteins.- De Novo Membrane Protein Structure Prediction.- NMR-Based Modeling and Refinement of Protein 3D Structures.- Methods for Predicting Protein Ligand Binding Sites.- Information-Driven Structural Modelling of Protein-Protein Interactions.- Identifying Putative Drug Targets and Potential Drug Leads: Starting Points for Virtual Screening and Docking.- Molecular Docking to Flexible Targets.

Summary

Molecular Modeling of Proteins, Second Edition provides a theoretical background of various methods available and enables non-specialists to apply methods to their problems by including updated chapters and new material not covered in the first edition. This detailed volume opens by featuring classical and advanced simulation methods as well as methods to set-up complex systems such as lipid membranes and membrane proteins and continues with chapters devoted to the simulation and analysis of conformational changes of proteins, computational methods for protein structure prediction, usage of experimental data in combination with computational techniques, as well as protein-ligand interactions, which are relevant in the drug design process. Written for the highly successful Methods in Molecular Biology series, chapters include thorough introductions, step-by-step instructions and notes on troubleshooting and avoiding common pitfalls.
Update-to-date and authoritative, Molecular Modeling of Proteins, Second Edition aims to aid researchers in the physical, chemical and biosciences interested in utilizing this powerful technology.

Product details

Assisted by Andrea Kukol (Editor), Andreas Kukol (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2017
 
EAN 9781493954919
ISBN 978-1-4939-5491-9
No. of pages 474
Dimensions 178 mm x 258 mm x 17 mm
Weight 1011 g
Illustrations X, 474 p. 104 illus., 53 illus. in color.
Series Methods in Molecular Biology
Methods in Molecular Biology
Subjects Natural sciences, medicine, IT, technology > Biology > Biochemistry, biophysics

B, biochemistry, bioinformatics, Biology, life sciences, proteins, Biomedical and Life Sciences, Information technology: general issues, Computational and Systems Biology, Protein Science, Computational biology, Computer Appl. in Life Sciences, Protein Structure, Protein Biochemistry

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